JP7358416B2 - Product judgment system, product judgment method and program - Google Patents

Description

The present invention relates to technology effective in determining products suitable for rental.

In recent years, due to changes in consumer needs, technology related to services that allow consumers to rent products and use them whenever they want, rather than purchasing and owning the products, has been attracting attention.
For example, Patent Document 1 discloses a technique that increases profits for rental companies while meeting users' wishes even when a store or the like does not have a rental product in stock for a rental reservation.
Additionally, Patent Document 2 discloses a technique for attaching ID tags to rental products and managing the status of each rental product present at each location on a distribution route.

Japanese Patent Application Publication No. 2017-134545 Japanese Patent Application Publication No. 2000-035994

Once a product is rented, the condition after return differs depending on the product, so if there are multiple products of the same type, it takes time to decide which product is suitable to rent first. There is a problem.
However, with the techniques of Patent Documents 1 and 2, it was not possible to determine which product is suitable for rental from a predetermined viewpoint among a plurality of rental products of the same type.

The inventors need a product judgment system, product judgment method, and program that can determine which product is suitable for rental from a predetermined viewpoint among multiple rental products of the same type. I focused on this.

Therefore, the present invention provides a product judgment system, a product judgment method, and a program that are capable of determining which product is suitable for rental from a predetermined viewpoint among a plurality of rentable products of the same type. The purpose is to

The present invention is a product determination system for determining products suitable for rental, comprising:
a creation unit that creates a list of the products in storage;
an issuing department that issues identification information for each of the products ;
a status information generation unit that generates status information indicating the status of the item returned from rental for each of the identification information ;
a customer information acquisition unit that acquires customer information of customers who have requested rental of the product;
a judgment department that judges products suitable for rental based on customer usage history ;
Equipped with
The determination unit determines the past usage status of the customer based on the customer information and the status information related to the customer, and determines a product that is suitable for rental based on the determination result. Provide a judgment system.

According to the present invention, a product determination system that determines products suitable for rental creates a list of the products in storage, issues identification information to each of the products , and identifies products that are returned from rental. Generate status information indicating the condition of the product for each of the identification information , obtain customer information of the customer who requested to rent the product, determine the customer's past usage status based on the customer usage history, and determine the determination result. Determine which products are suitable for rental .

Although the present invention is in the category of systems, similar actions and effects can be achieved even in methods and programs.

According to the present invention, it is possible to determine which product (individual) is suitable for rental from a predetermined viewpoint among a plurality of rentable products of the same type.

1 is a diagram illustrating an overview of a product judgment system 1. FIG. 1 is a diagram showing a functional configuration of a product judgment system 1. FIG. 2 is a diagram showing a flowchart of list creation processing executed by the product judgment system 1. FIG. An example of a list created by the computer 10 is schematically shown. 2 is a diagram showing a flowchart of information issuance generation processing executed by the product judgment system 1. FIG. 2 is a diagram schematically showing an example of product information, identification information, rental information, and status information stored in the computer 10. FIG. 2 is a diagram showing a flowchart of a first product judgment process executed by the product judgment system 1. FIG. 7 is a diagram showing a flowchart of a second product judgment process executed by the product judgment system 1. FIG. 7 is a diagram showing a flowchart of a third product judgment process executed by the product judgment system 1. FIG. 7 is a diagram showing a flowchart of a fourth product judgment process executed by the product judgment system 1. FIG. 2 is a diagram showing a flowchart of recommendation processing executed by the product judgment system 1. FIG. 2 is a diagram showing a flowchart of rental processing executed by the product judgment system 1. FIG. FIG. 3 is a diagram schematically showing an example of a screen when the customer terminal 20 agrees to the rental conditions. 2 is a diagram showing a flowchart of a learning process executed by the product judgment system 1. FIG.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, modes for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings. In the following figures, the same numbers or symbols are given to the same elements throughout the description of the embodiments.

[Basic concept/basic configuration]
FIG. 1 is a diagram for explaining an overview of a product judgment system 1. As shown in FIG. The product determination system 1 includes at least a computer 10 and is a system for determining products suitable for rental. In this embodiment, the product judgment system 1 includes a computer 10, a customer terminal 20 owned by a customer who desires rental, a WMS (Warehouse Management System) 21 that is a system for managing a warehouse 3 where products are stored, and a warehouse. 3 is connected to a consignor terminal 22 owned by the consignor who is the owner of the stored product for data communication.

This embodiment is based on the premise that a customer (e.g., an individual, a corporation) stores products (e.g., mobile objects (cars), clothes, home appliances, daily necessities, furniture, decorative items, Rental of jewelry, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, construction supplies, cooking supplies, physical and chemical equipment, children's supplies, power machinery equipment (drones, robots)) It is something to do.

Processing steps when the product determination system 1 determines a product suitable for rental will be described based on FIG. 1.
First, the computer 10 creates a list of products stored in a storage location such as the warehouse 3 (step S1).
The computer 10 receives product information (for example, product name, ID, management number, serial number, product identification code, classification, use, purpose, services). Alternatively, the computer 10 acquires product information of products stored in the warehouse 3 and owned by the consignor from the consignor terminal 22 .
The computer 10 creates a list of products stored in the warehouse 3 based on the obtained product information of the products.

The computer 10 issues identification information to the product (step S2).
The identification information is, for example, an RFID (radio frequency identifier), a one-dimensional code, or a two-dimensional code, and stores product information of the product.
The identification information issued by the computer 10 is attached to the product.

The computer 10 generates rental information regarding rental of the product (step S3).
The rental information is, for example, information regarding the total number of rentals, rental destination, rental date, scheduled return date, actual return date, and rental price.
The computer 10 generates rental information for each product based on rental information set for each product stored in advance.
Note that the computer 10 can also be configured to acquire rental information from the WMS 21 or the shipper terminal 22, and generate rental information for each product based on this rental information.

The computer 10 generates status information indicating the status of the item returned from rental (step S4).
The status information is, for example, information regarding the degree of damage, damage history, repair history, and cleaning history.
After the customer returns the product, the computer 10 acquires the result of inspecting the condition of the product from the WMS 21 as inspection information.
The computer 10 generates status information based on the acquired inspection information.

Based on the identification information, rental information, and status information, the computer 10 determines products suitable for rental from among the products of the same type in the created list based on a predetermined viewpoint (step S5).
The predetermined viewpoints are, for example, leveling of rental information and condition information, use of the same product, and customer usage history.
Leveling of rental information means, for example, matching or approximating the total number of rentals of each product, and leveling of condition information means, for example, matching or approximating the degree of damage of each product. . In this case, the leveling of rental information and condition information means to match or approximate the total number of rentals and degree of damage of each product. Using the same product means, for example, preferentially using only one product among a plurality of products for rental. In this case, if the same product is accepted for rental at the same time, the second and subsequent products will be used. In addition, a customer's usage history is, for example, a database of usage conditions when a customer rented a product in the past, and based on the usage history database, a customer who is in good usage condition is The computer 10 uses the identification information, the rental information, and the condition information to determine which products are to be used for rental. Then, from among a plurality of products of the same type, products that match or approximate a predetermined viewpoint are determined to be products suitable for rental.

Such a product determination system 1 can determine which product is suitable for rental from a predetermined viewpoint among a plurality of rentable products of the same type.

[Functional configuration]
The functional configuration of the product judgment system 1 will be explained based on FIG. 2.
The product judgment system 1 includes at least a computer 10, and the computer 10 manages a customer terminal 20 such as a mobile phone, a smartphone, a tablet terminal, or a personal computer owned by a customer who desires rental, and a WMS 21 that is a system that manages a warehouse 3. It is connected to a shipper's terminal 22 such as a mobile phone, smartphone, tablet terminal, personal computer, etc., owned by the shipper, who is the owner of the goods stored in the warehouse 3, via a network 9 such as a public line network, so that data can be communicated. It is a system that
The product judgment system 1 may include the above-described customer terminal 20, WMS 21, shipper terminal 22, and other terminals and devices. In this case, the product judgment system 1 executes the processing described below using the computer 10, other terminals, devices, etc., or a combination of a plurality of them.

The computer 10 is a computer or a personal computer that has a server function for determining products suitable for rental.
The computer 10 may be realized by, for example, one computer, or may be realized by a plurality of computers such as a cloud computer. In this specification, a cloud computer refers to one that uses any computer in a scalable manner to perform a certain function, or one that includes multiple functional modules to realize a certain system, and whose functions can be freely combined. It can be any of the following.

The computer 10 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. as a control unit, and a communication unit. as a connection with other terminals, devices, etc. Equipped with devices etc. to enable communication.
Further, the computer 10 includes a data storage unit such as a hard disk, a semiconductor memory, a storage medium, a memory card, etc. as a storage unit.
The computer 10 also includes, as processing units, a device that executes various processes, a creation unit 11 that creates a list of products, an issuing unit 12 that issues identification information, a rental information generation unit 13 that generates rental information, and a device that executes various processes. It includes a status information generation unit 14 that generates status information, a determination unit 15 that determines products suitable for rental, and the like.

In the computer 10, the control section reads a predetermined program, and in cooperation with the communication section, a product information acquisition module, an inspection information acquisition module, a judgment result provision module, an identification information acquisition module, a recommendation module, a product provision module, Realize consent acquisition module and delivery planning module.
Further, in the computer 10, by reading a predetermined program, the control section cooperates with the storage section to realize a list storage module, an information storage module, and a learning result storage module.
In addition, in the computer 10, by reading a predetermined program, the control unit cooperates with the processing unit to create a list creation module, an identification information issuing module, a rental information generation module, a status information generation module, a product extraction module, and a customer information generation module. Acquisition module, product judgment module, product information identification module, similar product identification module, similar product extraction module, storage judgment module, calculation module, customer evaluation judgment module, product judgment module, rental decision module, rental decision judgment module, judgment result judgment Realize module, learning module.

[List creation process executed by computer 10]
The list creation process executed by the computer 10 will be explained based on FIG. 3. This figure is a flowchart of the list creation process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. This list creation process is the details of the product list creation process (step S1) described above.

The product information acquisition module acquires product information of products stored in a storage location such as the warehouse 3 (step S10).
As mentioned above, the products include moving objects (cars), clothing, home appliances, daily necessities, furniture, decorations, jewelry, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, and construction work. These include supplies, cooking utensils, physical and chemical equipment, supplies for young children, and powered mechanical equipment (drones, robots), etc. As described above, the product information includes the product name, ID, management number, manufacturing number, product identification code, classification, use, purpose, service, etc.
The WMS 21 transmits product information of rental products stored in the warehouse 3 that it manages to the computer 10 based on instructions from the computer 10 and shipper terminal 22, input from the administrator of the WMS 21, etc. . Alternatively, the shipper's terminal 22 transmits product information of the goods stored in the warehouse 3 and owned by the shipper.
The product information acquisition module obtains product information of products stored in the warehouse 3 by receiving this product information.

The list creation module creates a list of products (step S11).
The list creation module organizes the products stored in the warehouse 3 by type (for example, name, classification, use, purpose, service) and creates a list (see FIG. 4). That is, the list creation module creates a list in which a plurality of products are grouped together for each type.
FIG. 4 schematically shows an example of a list created by the list creation module. In the figure, the list creation module creates a list of products (products A to F, products G, H, . . . ) for each product type (home appliance A, home appliance B).
Note that the list creation module is not limited to the type, and may create a list based on other classifications such as the degree of association of products (for example, same manufacturer, same shipper). The list creation module may also create a list based on larger classifications (eg, by manufacturer, by shipper).

Returning to FIG. 3, the continuation of the list creation process will be explained.
The list storage module stores the created list (step S12).

The above is the list creation process.
The computer 10 uses the list created by this list creation process to perform first to fourth product determination processes, which will be described later.

[Information issuance generation process executed by computer 10]
Based on FIG. 5, the information issue generation process executed by the computer 10 will be described. This figure is a diagram showing a flowchart of information issue generation processing executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. This information issuance generation process is a process that is performed after the above-mentioned list creation process, and includes the above-mentioned identification information issuance process (step S2), rental information generation process (step S3), and status information generation process (step S4). ) details.

First, the identification information issuing module issues identification information to the product (step S20).
As described above, the identification information is an RFID, a one-dimensional code, or a two-dimensional code, and stores product information of the product. The issued identification information is attached to the product.
If the identification information is RFID, an RFID tag with the issued RFID written thereon is attached to the product. The shape, size, type, etc. of the RFID tag can be changed as appropriate. Examples of attachment methods include pasting, crimping, and connection.
When the identification information is a code such as a one-dimensional code or a two-dimensional code, the issued code is attached to the product. The shape, size, type, etc. of the cord can be changed as appropriate. Examples of attachment methods include pasting, connecting, embroidery, and printing. In particular, when the product is clothing or fabric products, it is possible to attach the code by embroidering or printing directly onto the product.

The rental information generation module generates rental information regarding rental of products (step S21).
As described above, the rental information is information regarding the total number of rentals, rental destination, rental date, scheduled return date, actual return date, rental price, etc.
The rental information generation module generates rental information for each product based on information related to product rental set for each product stored in advance by itself.
Note that the rental information generation module can also be configured to acquire information regarding product rental from the WMS 21 or the consignor terminal 22, and generate rental information based on the acquired information regarding product rental.
In this case, the WMS 21 and the shipper terminal 22 transmit to the computer 10 information related to product rental set for each product stored in advance by the WMS 21 and information related to product rental that has been input by itself. The computer 10 obtains information regarding the rental of the product by receiving the information regarding the rental of the product. The rental information generation module generates rental information based on the acquired product rental information.

The inspection information acquisition module acquires inspection information indicating the condition of the item returned from rental (step S22).
The inspection information includes the degree of damage, damage history, repair history, cleaning history, etc.
The WMS 21 transmits the results of inspection performed on the rental product returned to the warehouse 3 to the computer 10 as inspection information.
The inspection information acquisition module acquires inspection information by receiving this inspection information.

The status information generation module generates status information indicating the status of the item returned from rental (step S23).
As described above, the status information is information regarding the degree of damage, damage history, repair history, cleaning history, etc.
The status information generation module generates status information for each product based on the acquired inspection information.

The information storage module stores product information, identification information, rental information, and status information in association with each other (step S24).
The information storage module stores product information, identification information, rental information, and status information in a correlated manner (see FIG. 6).
FIG. 6 is a diagram schematically showing an example of product information, identification information, rental information, and status information stored in the information storage module. In the figure, each product is associated with a product name, issued identification information, generated rental information, and status information.
Note that the format in which the information storage module stores product information, identification information, rental information, and status information is not limited to the above-mentioned format, and can be changed as appropriate.

The above is the information issue generation process.
The computer 10 uses the identification information, rental information, and status information created by this information issue generation process to perform the first to fourth product determination processes described below.

[First product determination process executed by computer 10]
The first product determination process executed by the computer 10 will be described based on FIG. 7. This figure is a flowchart of the first product determination process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. The first product determination process is performed after the above-described information issuance generation process, and is the details of the above-described process for determining products suitable for rental (step S5).

The product information acquisition module acquires the product information of the product that the customer desires to rent and the customer's identifier (step S30).
As described above, the customer is an individual, a corporation, etc., and the customer identifier is, for example, a name, ID, or management number.
The customer terminal 20 receives input from the customer about the product that the customer desires to rent. The customer terminal 20 receives, for example, an input of selection of a desired product from a list of rentable products, input of the name of the desired product, and the like. The customer terminal 20 transmits the product information of the received product and the customer's identifier to the computer 10.
By receiving the product information and the customer identifier, the product information acquisition module acquires the product information and customer identifier of the product that the customer desires to rent.

The product extraction module extracts products that the customer desires to rent from the list (step S31).
The product extraction module refers to the list created by the above-described list creation process based on the acquired product information, and extracts products corresponding to this product information from the list. If only one piece of product information exists in the list, the product extraction module extracts the product corresponding to this one piece of product information. Moreover, when a plurality of pieces of product information exist in the list, the product extraction module extracts products corresponding to each piece of product information.
In the following explanation, it is assumed that the product extraction module extracts a plurality of products of the same type. This is because when the product extraction module extracts only one product, the product to be rented is determined regardless of the result of the process for determining products suitable for rental (step S33), which will be described later.

The customer information acquisition module acquires customer information of a customer who wishes to rent a product (step S32).
The customer information is, for example, customer attributes and rental history. Customer attributes include, for example, gender, age, place of residence, occupation, preferences, values, income, and family composition for individuals, and workplace, position, and person in charge on the shipper's side for corporations.
The customer information acquisition module refers to a customer information database (hereinafter also referred to as customer information DB) in which customer identifiers and customer information are registered in association with each other, and identifies customer information corresponding to the currently acquired customer identifier. and obtain the identified customer information.
Note that this customer information acquisition process does not necessarily have to be executed. This customer information acquisition process may be executed if the predetermined viewpoint is related to the customer in the process of determining products suitable for rental (step S33), which will be described later, and may be omitted in other cases. It is possible.

The product determination module determines products suitable for rental from among the same type of products in the list based on a predetermined viewpoint (step S33).
As described above, the predetermined viewpoints include equalization of rental information and condition information, use of the same product, customer's usage history, and the like.
The product determination module determines one or more products suitable for rental.

The process by which the product determination module determines products suitable for rental based on each viewpoint will be explained.
First, a case will be described in which the predetermined viewpoint is equalization of rental information and status information.
The product determination module determines products that match or approximate the generated rental information of each product as products suitable for rental. For example, the product judgment module selects multiple products for rental in order of the total number of rentals of each product among multiple extracted products of the same type, or products that are outside a predetermined range. Determine the product as suitable. That is, the product determination module determines that the numerical values and states of the rental information of each product that vary match or are similar between the products.
The product determination module determines products that match or approximate the generated status information of each product as products suitable for rental. For example, the product determination module selects multiple products that are suitable for rental in order of the degree of damage of each product, which is the least damaged among multiple extracted products of the same type, is outside a predetermined range, or is least damaged. It is judged as a product with high quality. That is, the product determination module determines that the numerical values and states of the state information of each product that vary match or approximate each other between the products.
The product determination module may determine products that are determined to be suitable for rental based on the rental information and condition information, or may determine that the products determined based on the rental information and condition information are appropriate for rental. You can determine matching products as products suitable for rental, or you can set in advance whether rental information or condition information should be given priority and determine products suitable for rental according to this setting. good.
Note that the rental information and status information are not limited to the examples described above, and other information may be used. Further, the rental information is not limited to one type, and a plurality of pieces of rental information may be used to determine a product suitable for rental. Further, the condition information is not limited to one type, and a plurality of pieces of status information may be used to determine a product suitable for rental.

Next, a case where the predetermined viewpoint is the use of the same product will be described.
The product determination module determines one preset product among the extracted plurality of products of the same type as a product suitable for rental. The product determination module sets the products to be used for rental in advance for each product type and identification information for the same product, and selects the set products for rental from among the multiple extracted products of the same type. The product is judged to be suitable for

Finally, a case where the predetermined viewpoint is the customer's usage history will be described.
The product determination module determines, based on the acquired customer information, the usage status of the product when the customer rented the product in the past (such as the presence or absence of damage in the condition information, the presence or absence of repair, etc.). Based on the judgment result of this usage condition, the product judgment module selects a product with good condition information from among multiple extracted products of the same type for customers who are in good usage condition (customers with little or no damage). is determined to be a product suitable for rental. On the other hand, based on the judgment result of this usage condition, the product judgment module selects a product with bad condition information from among the multiple extracted products of the same type for a customer in poor usage condition (customer with a lot of damage). The product is determined to be suitable for rental. That is, the product determination module determines a product suitable for rental from among a plurality of extracted products of the same type according to the customer's past usage status.
Note that the customer information and status information are not limited to the above-mentioned examples, and other information may be used. Further, the customer information is not limited to one piece of information, and a plurality of pieces of customer information may be used to determine which products are suitable for rental. Further, the condition information is not limited to one type, and a plurality of pieces of status information may be used to determine a product suitable for rental.

The above is the first product determination process.
In the first product determination process described above, the computer 10 determines whether the product that the customer has requested to rent is suitable for rental. You may decide which products are suitable for rental regardless of the situation.
In this case, the product determination module determines a product suitable for rental based on a predetermined viewpoint from among multiple products of the same type that can be placed in the list, based on the generated identification information, rental information, and generated information. It turns out.
In the case of leveling rental information and condition information, the product judgment module selects a product suitable for rental based on the above-mentioned rental information and condition information from among multiple products of the same type based on the product information. to judge.
Further, when the same product is to be used, the product determination module determines the product suitable for rental based on a preset product as described above.
In addition, in the case of the customer's usage history, the product judgment module determines the product suitable for rental according to the customer's past usage status as described above, based on the customer information of the customer who has rented the product in the past. I will do it.
The determination result providing module may be configured to provide the shipper with the determination results (product information, identification information, rental information, and status information of each product determined to be suitable for rental).

[Second product determination process executed by computer 10]
The second product determination process executed by the computer 10 will be described based on FIG. 8. This figure is a diagram showing a flowchart of the second product determination process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. The second product determination process is performed after the information issuance generation process described above, and is the details of the process for determining products suitable for rental (step S5), which is different from the first product determination process described above. .
Note that detailed explanations of processes similar to the first product determination process described above will be omitted.

The identification information acquisition module acquires identification information of products displayed at a location different from the warehouse 3 (hereinafter also referred to as a separate location) and a customer identifier (step S40).
Places other than the warehouse 3 include, for example, physical stores, online stores, exhibition halls, flyers and catalogs, and the like.
The identification information is an RFID or a code, similar to that in the information issue generation process described above.
The customer terminal 20 reads identification information attached to a product displayed at another location or placed near the product. The customer terminal 20 transmits the read identification information and the identifier of the customer who read the identification information to the computer 10.
The identification information acquisition module receives the identification information and the customer's identifier, and thereby acquires the identification information of the product displayed at another location and the customer's identifier.

The product information specifying module specifies the product information stored in the identification information (step S41).
The product information identification module analyzes the acquired identification information and identifies the product information stored in this identification information.

The similar product identification module identifies products stored in the warehouse 3 that are similar to this product based on the product information (step S42).
Based on the specified product information, the similar product identification module selects products similar to the product whose identification information has been read by the customer (hereinafter similar products are also referred to as similar products) from among the products stored in the warehouse 3. Identify. Similar products include, for example, products with similar classifications, products with similar product names, products with similar uses, products with similar services, and products with similar shapes.
The similar product identification module refers to the list created by the list creation process described above, and identifies products similar to the product whose identification information has been read by the customer, based on the identified product information. The similar product identification module identifies, as similar products, products for which the product information in the list matches the product information identified from the identification information by a predetermined percentage or more.

The similar product extraction module extracts identification information, rental information, and status information of similar products (step S43).
The similar product extraction module extracts identification information, rental information, and status information corresponding to the identified similar product from the identification information, rental information, and status information issued and generated by the above-described information issuance generation process. When only one similar product is identified, the similar product extraction module extracts identification information, rental information, and status information of this one similar product. Further, when a plurality of identified similar products exist, the similar product extraction module extracts identification information, rental information, and status information of each of the plurality of similar products.
In the following description, it will be assumed that the similar product extraction module extracts the identification information, rental information, and status information of each of a plurality of similar products. This means that if the similar product extraction module extracts only the identification information, rental information, and status information of one similar product, the product will be rented regardless of the result of the process for determining products suitable for rental (step S45), which will be described later. This is because the product is judged.

The customer information acquisition module acquires customer information of the customer whose identification information has been read (step S44).
The customer information acquisition module refers to the customer information DB, specifies customer information corresponding to the currently acquired customer identifier, and acquires the specified customer information.

The product determination module determines products suitable for rental from among the extracted similar products in the list based on a predetermined viewpoint (step S45).
The process in step S45 is substantially the same as the process in step S33 described above. In this step S45, the product determination module determines a product suitable for rental from among similar products, instead of products of the same type in the process of step S33 described above.

The above is the second product determination process.

[Third product determination process executed by computer 10]
The third product determination process executed by the computer 10 will be described based on FIG. 9 . This figure is a flowchart of the third product determination process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. The third product determination process is performed after the information issuance generation process described above, and is a process for determining products suitable for rental (step S5), which is different from the first and second product determination processes described above. It's detailed.
Note that detailed explanations of processes similar to those described above will be omitted.

The product information acquisition module acquires the product information of the product that the customer desires to rent and the customer's identifier (step S50).
The process in step S50 is similar to the process in step S30 described above.

The storage determination module determines whether the product is being stored in the warehouse 3 (step S51).
The storage determination module refers to the list created by the list creation process described above and determines whether the currently acquired product information exists in the list.
When the storage determination module determines that the product is being stored in the warehouse 3 (step S51 YES), it executes the process after the extraction process from the list of products (step S31) in the first product determination process described above. .
Note that, for the purpose of simplifying the explanation, the third product determination process will be described assuming that the process ends.

On the other hand, if the storage determination module determines that the product is not stored in the warehouse 3 (step S51 NO), the similar product identification module stores the product in the warehouse 3 that is similar to the product that the customer desires to rent based on the product information. The products being stored are identified (step S52).
The similar product identification module identifies products similar to the product that the customer desires to rent from among the products stored in the warehouse 3 based on the acquired product information.
The similar product identification module refers to the list created by the list creation process described above and identifies products similar to the product the customer desires to rent based on the acquired product information. The similar product identification module identifies products for which the product information in the list matches the acquired product information by a predetermined percentage or more as similar products.

The similar product extraction module extracts identification information, rental information, and status information of similar products (step S53).
The process in step S53 is similar to the process in step S43 described above.

The customer information acquisition module acquires customer information of the customer who wishes to rent the product (step S54).
The process in step S54 is similar to the process in step S32 described above.

The product determination module determines products suitable for rental from among the extracted similar products in the list based on a predetermined viewpoint (step S55).
The process in step S55 is similar to the process in step S45 described above.

The above is the third product determination process.

[Fourth product determination process executed by computer 10]
The fourth product determination process executed by the computer 10 will be described based on FIG. 10. This figure is a flowchart of the fourth product determination process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. The fourth product determination process is performed after the information issuance generation process described above, and is a process for determining products suitable for rental (step S5), which is different from the first to third product determination processes described above. It's detailed.
Note that detailed explanations of processes similar to those described above will be omitted.

The product information acquisition module acquires the product information of the product that the customer desires to rent and the customer's identifier (step S60).
The process in step S60 is similar to the process in step S30 described above.

The product extraction module extracts products that the customer desires to rent from the list (step S61).
The process in step S61 is similar to the process in step S31 described above.

The customer information acquisition module acquires customer information of a customer who wishes to rent a product (step S62).
The process in step S62 is similar to the process in step S32 described above.

The product determination module determines products suitable for rental from among the same type of products in the list based on a predetermined viewpoint (step S63).
The process in step S63 is similar to the process in step S33 described above.

The calculation module calculates the evaluation of the customer who requested rental (step S64).
Customer evaluations are, for example, excellent, good, fair, and poor.
The calculation module calculates rental history in the acquired customer information, status information of products returned by this customer in the past, return status (delays or not), property damage other than products (boxes, instruction manuals, etc.), and product reviews by customers. Customer evaluations are calculated based on the presence or absence of such items. The calculation module calculates the customer's evaluation based on the presence or absence of damage, the presence or absence of repair, etc. in the condition information of the product returned by the customer in the past. The calculation module calculates a rating for a customer with no damage history or repair history as good, a customer with a damage history or repair history less than a predetermined number of times as good, and a customer with a damage history or repair history less than a predetermined number of times. An evaluation is calculated for customers whose damage history and repair history are evaluated as acceptable, and evaluations are calculated as unfavorable for customers whose damage history and repair history occur a predetermined number of times more than those of customers who are evaluated as acceptable.
Note that the calculation module may calculate the customer's evaluation based on status information other than the damage history and repair history described above, or may calculate the customer's evaluation based on one or more pieces of status information. good. Further, the customer's evaluation may be expressed by other contents such as numbers and symbols.

The customer evaluation determination module determines whether the customer evaluation is equal to or higher than a predetermined ratio (step S65).
The predetermined ratio is, for example, a customer rating of good or better.
If the customer evaluation judgment module judges that the customer evaluation is not higher than the predetermined ratio (step S65 NO), it ends the fourth product judgment process.

On the other hand, if the customer evaluation judgment module judges that the customer's evaluation is equal to or higher than the predetermined ratio (step S65 YES), the product judgment module judges which products have been given preferential treatment among the judged products (step S66). ).
The preferential product is, for example, a product that comes with samples, benefits, etc., and is set as part of the product in advance.
The product determination module determines which products have been given preferential treatment from among the products determined to be suitable for rental as a result of the above-described process of determining products suitable for rental (step S64). At this time, if the product determination module determines that the product is suitable for rental and there is no product that has been given preferential treatment, some kind of preferential treatment may be given to the customer. Preferential treatment includes, for example, a reduction in rental fees and the provision of samples and benefits.
As a result of this preferential product judgment process, the product judgment module determines that the preferential product is suitable for rental for customers whose evaluation is above a predetermined percentage, and provides preferential treatment for customers who do not. (normal) products that are not listed are judged to be suitable for rental.

The above is the fourth product determination process.

[Recommendation processing executed by computer 10]
The recommendation process executed by the computer 10 will be described based on FIG. 11. This figure is a diagram showing a flowchart of recommendation processing executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. This recommendation process is a process that is performed after any one of the first to fourth product determination processes described above.
Note that detailed explanations of processes similar to those described above will be omitted.

The similar product identification module identifies similar products to the product determined to be suitable for rental (step S70).
The similar product identification module identifies products similar to this product from among the products stored in the warehouse 3 based on the product information of the product determined to be suitable for rental.
The similar product identification module refers to the list created by the list creation process described above and identifies products similar to this product based on the product information of the product determined to be suitable for rental. The similar product identification module identifies, as similar products, products for which the product information in the list matches the product information of the product determined to be suitable for rental by a predetermined percentage or more.

The similar product extraction module extracts identification information, rental information, and status information of similar products (step S71).
The similar product extraction module extracts identification information, rental information, and status information corresponding to the identified similar product from the identification information, rental information, and status information issued and generated by the above-described information issuance generation process. When only one similar product is identified, the similar product extraction module extracts identification information, rental information, and status information of this one similar product. Further, when a plurality of identified similar products exist, the similar product extraction module extracts identification information, rental information, and status information of each of the plurality of similar products.

The recommendation module recommends similar products to the customer (step S72).
The recommendation module recommends identification information, rental information, and condition information of similar products to the customer. When there is only one similar product, the recommendation module recommends the identification information, rental information, and status information of this one similar product to the customer. Further, when a plurality of similar products exist, the recommendation module recommends the identification information, rental information, and status information of each of the plurality of similar products to the customer. At this time, the recommendation module ranks multiple similar products according to the degree of matching of the product information with the product determined to be suitable for rental, and recommends it to the customer based on the ranking. . For example, the recommendation module sorts and recommends similar products in descending order of rank, recommends similar products that are higher than a predetermined rank, and recommends similar products that have the highest rank. Note that the method by which the recommendation module recommends similar products is not limited to the example described above.
The recommendation module transmits identification information, rental information, and status information of similar products to be recommended to the customer terminal 20.
The customer terminal 20 receives the identification information, rental information, and status information of this similar product and displays it on its own display unit or the like.
The recommendation module recommends similar products to the customer by displaying identification information, rental information, and status information of the recommended similar products on the customer terminal 20.

The above is the recommendation process.

[Rental processing executed by computer 10]
The rental process executed by the computer 10 will be explained based on FIG. 12. This figure is a diagram showing a flowchart of rental processing executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. This rental process is a process that is performed after any one of the first to fourth product determination processes described above.

The determination result providing module provides the determination result to the shipper (step S80).
The determination result providing module provides the shipper with product information, identification information, rental information, and status information of products determined to be suitable for rental as a result of the first to fourth product determination processes described above.
The determination result providing module transmits product information, identification information, rental information, and status information of the product determined to be suitable for rental to the shipper terminal 22.
The shipper terminal 22 receives the product information, identification information, rental information, and status information of the product determined to be suitable for rental, and displays it on its own display unit or the like.
The determination result providing module displays the product information, identification information, rental information, and status information of the product determined to be suitable for rental on the shipper terminal 22, thereby obtaining the results of the first to fourth product determination processes described above. We provide the consignor with products that are determined to be suitable for rental.
Note that the process of providing this judgment result to the shipper may be performed as an independent process, and the computer 10 does not need to execute the subsequent process.

The product providing module provides the customer with products determined to be suitable for rental (step S81).
The product providing module provides the customer with product information, identification information, rental information, and status information of products determined to be suitable for rental as a result of the first to fourth product determination processes described above.
The product providing module transmits product information, identification information, rental information, and status information of the product determined to be suitable for rental to the customer terminal 20.
The customer terminal 20 receives the product information, identification information, rental information, and status information of the product determined to be suitable for rental, and displays it on its own display unit or the like.
The product providing module displays the product information, identification information, rental information, and status information of the product determined to be suitable for rental on the customer terminal 20, and as a result of the above-described first to fourth product determination processes, the product is rented. Provide customers with products that are deemed suitable.
Note that the computer 10 may execute the process of providing the product to the customer regardless of whether or not the process of providing the above-described determination result to the shipper (step S50) is executed.

The consent acquisition module obtains consent for product rental from the customer (step S82).
The customer terminal 20 receives input from the customer for consent to rent the provided product. The customer terminal 20 displays the provided product on the display unit as shown in FIG. 13, and receives input from the consent icon 30, thereby accepting input for consent to rent the product. The customer terminal 20 transmits product information of the product for which consent has been accepted to the computer 10.
By receiving this product information, the consent acquisition module obtains consent to rent the product from the customer.
Note that if the consent acquisition module does not obtain rental consent from the customer for a predetermined period of time (for example, several hours, one day, or several days), the computer 10 determines that the customer has canceled the rental request and Finish the rental process.

The rental decision module decides to rent the product to the customer (step S83).
The rental decision module decides to rent the product corresponding to the acquired product information to the customer.

The delivery planning module plans the delivery of the product for which rental has been decided (step S84).
The delivery planning module executes the processing necessary to deliver this product to the customer. This process is, for example, a process of formulating a plan for shipping products. Based on this plan, processes related to arranging vehicles and drivers to deliver the products, instructions for packaging, setting of delivery date and time, delivery location, picking of products in warehouse 3, etc. are performed, and once completion information is received, processing is carried out as necessary. The plan is updated. The delivery planning module plans the delivery of products by executing these processes.

The above is the rental process.

[Learning process executed by computer 10]
The learning process executed by the computer 10 will be described based on FIG. 14. This figure is a diagram showing a flowchart of the learning process executed by the computer 10. The processing executed by each of the above-mentioned modules will be explained together with this processing. This learning process is a process performed based on the result of the rental process described above.

The rental decision determination module determines whether or not it has been decided to rent the product determined to be suitable for rental (step S90).
The rental determination module determines whether or not it has been decided to rent the product to the customer through the above-described rental process for the product determined to be suitable for rental through the first to fourth product determination processes described above.
When the rental decision judgment module judges that the rental of the product judged to be suitable for rental has not been decided (step S90 NO), the judgment result judgment module judges that the judgment result is not appropriate (step S91).
An inappropriate judgment result means that the customer's wishes do not match the product rental information or condition information based on a predetermined viewpoint.

The learning module learns association data that associates the products that were not rented based on the judgment results, the rental information and status information generated for the products that were not rented, and the fact that the judgment results were inappropriate ( Step S92).
Learning methods include machine learning using supervised learning, unsupervised learning, reinforcement learning, etc., and deep learning using convolutional neural networks, recurrent neural networks, long/short-term memory, etc.
The learning module collects product information for products that were determined to be suitable for rental but for which no rental decision was actually made, the rental information and status information generated for this product, and the fact that the determination result was incorrect. Learning is performed based on the associated data.

The learning result storage module stores the learning results (step S93).

Returning to step S90, a case will be described in which the rental determination module determines that a product determined to be suitable for rental has been determined to be rented.
When the rental decision judgment module judges that the rental of the product judged to be suitable for rental has been decided (step S90 YES), the judgment result judgment module judges that the judgment result is appropriate (step S94).
The judgment result being appropriate means that the customer's wishes match the product rental information and condition information based on a predetermined viewpoint.

The learning module learns association data that associates the rented product based on the judgment result, the rental information and status information generated for the rented product, and the fact that the judgment result is inappropriate (step S95).
The learning method is the same as the learning process (step S92) described above.
The learning module associates the product information of the product that has been determined to be suitable for rental and for which the rental decision was actually made, the rental information and status information generated for this product, and the fact that the judgment result is appropriate. Learning is performed based on the associated data.

The learning result storage module stores the learning results (step S96).

The computer 10 can also be configured to take into consideration the results of learning by this learning process in the first to fourth product determination processes described above to determine which products are suitable for rental. In this case, in the first to fourth product determination processes, in addition to the predetermined viewpoints, the computer 10 uses product information of the product for which the rental decision has been made, rental information and status information generated for this product. It is possible to determine products that match or are similar to each other as products suitable for rental.

The above is the learning process.

The means and functions described above are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. For example, the program may be provided from a computer via a network (SaaS: Software as a Service) or in a cloud service. Further, the program may be provided in a form recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal recording device or an external recording device, records it, and executes it. Alternatively, the program may be recorded in advance on a recording device (recording medium) and provided to the computer from the recording device via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. Furthermore, the effects described in the embodiments of the present invention are merely a list of the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. isn't it.

(1) Products suitable for rental (e.g. mobile objects (cars), clothing, home appliances, daily necessities, business supplies, sporting goods, office supplies, outdoor supplies, event supplies, travel supplies, medical supplies, construction work supplies, cooking supplies) , physical and chemical equipment, infant and child supplies, power mechanical equipment (drones, robots)),
a creation unit (for example, creation unit 11, list creation module) that creates a list of the products in storage;
an issuing unit (for example, issuing unit 12, identification information issuing module) that issues identification information (for example, RFID, one-dimensional code, two-dimensional code) for the product;
A rental information generation unit (for example, rental information generation unit 13, rental information generation unit) that generates rental information regarding rental of the product (for example, total number of rentals, rental destination, rental date, scheduled return date, actual return date, rental price) generation module) and
a status information generation unit (for example, the status information generation unit 14, a status information generation module) that generates status information (for example, degree of damage, damage history, repair history, cleaning history) indicating the condition of the product returned from rental; ,
A determination unit (for example, a determination unit) that determines products suitable for rental based on a predetermined viewpoint from among products of the same type in the created list based on the identification information, the rental information, and the status information. 15, Product Judgment Module);
A product judgment system equipped with

According to the invention (1), it is possible to determine which product is suitable for rental from a predetermined viewpoint among a plurality of rental products of the same type.
Therefore, it is possible to appropriately select items based on a certain standard according to the wishes of the shipper, without depending on the worker's own judgment.

(2) A customer who wishes to rent the product displays the product at a location (e.g., physical store, online store, exhibition hall, flyer/catalog booklet, etc.) that is different from the storage location (e.g., warehouse 3). an acquisition unit (for example, an identification information acquisition module) that acquires the identification information read from the
an extraction unit (for example, a similar product extraction module) that extracts the identification information, rental information, and status information of a stored product similar to the displayed product based on the acquired identification information;
further comprising;
The determination unit determines a product suitable for rental based on the extracted identification information, rental information, and status information.
The product judgment system according to claim 1.

According to the invention (2), it becomes possible to determine which products are suitable for rental from among products similar to the products actually viewed by the customer.

(3) a learning unit (for example, a learning module) that learns association data that associates the rented product with the rental information and status information generated for the rented product based on the determination result;
further comprising;
The determination unit determines products suitable for rental by taking into account the learning results.
The product judgment system according to claim 1.

According to the invention (3), it becomes possible to more accurately determine which product is suitable for rental from a predetermined viewpoint among multiple rental products of the same type.

(4) the predetermined viewpoint is equalization of the rental information and the state information;
The product judgment system according to claim 1.

According to the invention (4), it becomes possible to use products equally.

(5) the predetermined aspect is the use of the same product;
The product judgment system according to claim 1.

According to the invention (5), it is possible to use only one product.

(6) the predetermined viewpoint is the customer's usage history;
The product judgment system according to claim 1.

According to the invention (6), it becomes possible to determine which product is suitable for the customer.

(7) a providing unit (for example, a judgment result providing module) that provides the judgment result to the shipper of the product;
The product judgment system according to claim 1, further comprising:

According to the invention (7), it becomes possible for the shipper himself to know which products are suitable for rental.

(8) a calculation unit (for example, a calculation module) that calculates the evaluation of a customer who desires to rent the product;
further comprising;
The determination unit determines the product to be rented according to the calculated evaluation of the customer.
The product judgment system according to claim 1.

According to the invention (8), it becomes possible to determine which product is suitable for the customer.

(9) a recommendation section (for example, a recommendation module) that recommends products similar to products determined to be suitable for rental;
The product judgment system according to claim 1, further comprising:

According to the invention (9), it becomes possible to recommend other products that the customer is interested in.

(10) a planning unit (for example, a delivery planning module) that plans the delivery of the rental product based on the determination result;
The product judgment system according to claim 1, further comprising:

According to the invention (10), it becomes possible to deliver the product desired by the customer.

(11) A product determination method executed by a computer for determining products suitable for rental, the method comprising:
a step of creating a list of the products in storage (for example, step S11);
a step of issuing identification information for the product (for example, step S20);
a step of generating rental information regarding rental of the product (for example, step S21);
generating status information indicating the status of the item returned from rental (for example, step S23);
A step of determining products suitable for rental based on a predetermined viewpoint from among products of the same type in the created list based on the identification information, the rental information, and the status information (for example, step S33) and,
A product judgment method comprising:

(12) A computer that determines products suitable for rental,
creating a list of the products in storage (for example, step S11);
a step of issuing identification information for the product (for example, step S20);
a step of generating rental information regarding rental of the product (for example, step S21);
generating status information indicating the status of the item returned from rental (for example, step S23);
A step of determining products suitable for rental based on a predetermined viewpoint from among products of the same type in the created list based on the identification information, the rental information, and the status information (for example, step S33) ,
A computer readable program for executing.

1 Product Judgment System 3 Warehouse 9 Network 10 Computer 11 Creation Department 12 Publishing Department 13 Rental Information Generation Department 14 Status Information Generation Department 15 Judgment Department 20 Customer Terminal 21 WMS
22 Shipper terminal 30 Consent icon

Claims (10)

A product judgment system for determining products suitable for rental,
a creation unit that creates a list of the products in storage;
an issuing department that issues identification information for each of the products ;
a status information generation unit that generates status information indicating the status of the item returned from rental for each of the identification information ;
a customer information acquisition unit that acquires customer information of customers who have requested rental of the product;
a judgment department that judges products suitable for rental based on customer usage history ;
Equipped with
The determination unit determines the past usage status of the customer based on the customer information and the status information related to the customer, and determines a product that is suitable for rental based on the determination result. judgment system. further comprising a rental information generation unit that generates rental information regarding rental of the product for each of the identification information,
The judgment unit has created the information based on the identification information, the rental information, and the condition information based on any of the following viewpoints: leveling of rental information, leveling of product condition information, and use of the same product. The product determination system according to claim 1, which determines products suitable for rental from among products of the same type in the list. an acquisition unit for a customer who desires to rent a product to acquire the identification information read from the product displayed at a location different from the storage location;
an extraction unit that extracts the identification information, the rental information, and the status information of a stored product similar to the displayed product based on the acquired identification information;
further comprising;
The determination unit determines a product suitable for rental based on the extracted identification information, rental information, and status information.
The product judgment system according to claim 2 . a learning unit that learns association data that associates the rented product with the rental information and the status information generated for the rented product based on the determination result;
further comprising;
The determination unit determines products suitable for rental by taking into account the learning results.
The product judgment system according to claim 2 . a providing unit that provides the determination result to the shipper of the product;
The product judgment system according to claim 1, further comprising: a calculation unit that calculates the evaluation of customers who wish to rent the product;
further comprising;
The determination unit determines the product to be rented according to the calculated evaluation of the customer.
The product judgment system according to claim 1. The product determination system according to claim 1, further comprising: a recommendation unit that recommends products similar to products determined to be suitable for rental. a planning department that plans the delivery of rental products based on the judgment results;
The product judgment system according to claim 1, further comprising: A computer-implemented product determination method for determining products suitable for rental, the method comprising:
creating a list of the products in storage;
issuing identification information for each of the products ;
generating status information indicating the status of the item returned from rental for each of the identification information ;
obtaining customer information of a customer who requested to rent the product;
determining which products are suitable for rental based on the customer's usage history ;
a step of recommending a product similar to the product determined to be suitable for rental ;
The step of determining the product suitable for rental includes determining the past usage status of the customer based on the customer information and/or the status information related to the customer, and selecting the product suitable for rental based on the determination result. A method for determining whether a product is suitable . A computer determines which products are suitable for rental.
creating a list of the products in storage;
issuing identification information for each of the products ;

generating status information indicating the status of the item returned from rental for each of the identification information ;
a step of obtaining customer information of a customer who requested to rent the product;
Based on the customer's usage history , the past usage status of the customer is determined based on the customer information and/or the status information related to the customer, and products suitable for rental are selected based on the determination result. step to judge,
a step of recommending products similar to the product determined to be suitable for rental;
A computer readable program for executing.